Position:

Location: Sydney, Australia

Work Mode: Onsite / Onshore

Domain: BFSI (Mandatory)

We are looking for a Snowflake Data Engineer with hands-on experience in cloud data warehousing, ETL/ELT pipelines and data integration. The candidate must have prior experience working in the BFSI domain, preferably on banking, financial services or insurance data platforms.

Key Responsibilities:
Develop and maintain data pipelines using Snowflake.
Write complex SQL queries and optimise database performance.
Build ETL/ELT workflows for data integration.
Work with structured and semi-structured data.
Perform data transformation, validation and quality checks.
Integrate data from multiple banking and financial systems.
Collaborate with analytics and engineering teams.
Required Skills:
Hands-on experience with Snowflake.
Solid SQL and data warehousing knowledge.
Experience with Python.
Knowledge of ETL/ELT processes.
Experience with data integration tools.
Mandatory BFSI domain experience.
Understanding of banking, financial transactions, risk, compliance or insurance data.
Preferred Skills:
SnowPro certification.
Experience with dbt, Airflow or Informatica.
Exposure to AWS, Azure or GCP.

📌 Snowflake Data Engineer Sydney (Australia)
🏢 Neuronimbus
📍 Australia